External Research Collaborator (AI for Robotics)

Intelligent Sensing Lab (ISLab), Univ. of Milano-Bicocca

Mar 2025 - Oct 2025

• - Research project: “Data Collection and Analysis of Human–Machine Interaction in the Context of Industry 5.0” (Cod. 25CE114).
• - Part of HOMEY – A Human-centric IoE-based Framework for Supporting the Transition Towards Industry 5.0 (PRIN 2022, ID 2022-NAZ-0329/PER, funded by the EU – NextGenerationEU).
• - Collected and analyzed human-robot interaction data using the LeRobot framework.
• - Extended ACT policy models with visual task encoding, evaluated multi-task learning performance, and benchmarked wearable-sensor-based control (Movella Xsens Dot) vs. leader-arm teleoperation.

Data Science Intern - Generative AI

KNIME GmbH (Berlin, Germany)

Oct 2024 - Dec 2024

• - Worked within the Evangelism Team, focusing on the integration of Generative AI and data analytics through KNIME workflows.
• - Developed a complete data app assembling the KPI dashboard featured in KNIME’s official blog post “6 CEO KPIs and How to Measure Them,” including workflows for both the KPI data warehouse and the dynamic dashboard.
• - Authored the blog “Visualize Your Revenue Growth KPI with K-AI.”
• - Built GenAI workflows using multimodal local LLMs to automatically explain KPI reports, and created the corresponding workflow, presentation slides, and blog post. This project was presented at 5+ conferences.
• - Designed feature engineering pipelines powered by Generative AI, complemented by technical blogs and documentation.
• - Co-facilitated the KNIME GenAI Learnathon at the University of Pisa, mentoring over 100 students.

Research Intern - Microelectronics

Microelectronics Group - UniMiB (Milan, Italy)

Oct 2022 - Feb 2023

• - Worked on a research project in microelectronics, focused on Protond Sound Detectors.
• - The experiment is based on sensing the weak thermoacoustic signal emitted by the fast energy deposition (and/or theheating process) at the end of the beam range (Bragg Peak)
• - Implemented a Matlab simulation of a chopper-stabilized preamplifier to model and reduce low-frequency noise in the analog frontend.
• - Analyzed the performance of the preamplifier in terms of noise reduction and signal fidelity.

Graduate coursework focused on ML systems, data engineering, and applied AI.

Focused on microelectronics and completed a thesis on chopper preamplifier modeling.

R&D Specialist

QuickWine

Feb 2025 - Aug 2025

• - Contributed to QuickWine, a startup project recognized within the LEARN program of Start for Future.
• - Developed the recommendation engine and generated simulated supermarket datasets in a private GitHub repository.

Technical Co-Founder

Calisthenics Assistant

Nov 2024 - Present

• - Co-founded an early-stage fitness-tech project focused on video-based analysis of calisthenics technique.
• - Built Python computer-vision tools to evaluate handstands, count push-ups, and overlay form feedback directly on videos.
• - Expanded the system beyond the initial prototype with support for additional bodyweight exercises and coaching logic.